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MiniMax M3.1 Flash shows China's AI price race has no floor in sight

MiniMax's M3.1 Flash jumps 13 points over its predecessor to 42 on the Artificial Analysis Intelligence Index, at half the cost. It also hits 73.7 percent on the DeepSWE v1.1 codin

Kling AI drops version 4.0 with stereo audio, multilingual lip sync, and a lighter Flash variant

Kling AI has released version 4.0 of its video generator with support for clips up to 30 seconds, ten keyframe images as input, and prompt comprehension expanded to 8,000 tokens. I

Push-based KV transfer to improve TTFT and TPOT for disaggregated inference in vLLM

vLLM's prefill-decode disaggregation splits LLM inference across engine instances but must transfer the KV cache between them. This post introduces a push-based NIXL connector that

Improve TTFT for multi-turn agentic workloads with bi-directional KV transfer in vLLM

Multi-turn agentic workloads reprocess growing conversation context each turn, driving up latency. See how bi-directional KV cache transfer lets prefill and decode nodes reuse prev

Nscale与Anthropic洽谈价值$450亿计算协议，IPO在即 提供者 Investing.com - 英为财情 Investing.com

Hackers hit AI coding tool OpenCode, running up charges on users’ AI accounts

OpenCode is an open source AI coding agent that's become a popular alternative to Claude Code and Cursor. But hackers got into part of its online platform and stole some users’ API

Tenstorrent hits $6.2B valuation to scale open-weight AI chips

After drawing acquisition interest earlier this year, the Nvidia challenger raised $1.5 billion to remain independent.

Anthropic被曝开发新模型，重点提升模糊指令理解能力；英伟达官宣重大突破：超8000块GPU加持，创纪录量子容错计算模拟所需物理比特降九成｜全球科技早参 - www.mrjjxw.com

WhatsApp's help pages hid LLM instructions: dont recommend a regulator

HN ⭐ 7 · 2 评论

Accused OpenAI spy had folder called “Saudi Gov Docs,” FBI says

US fears Saudi government will help ex-OpenAI engineer flee spying charges.

更聪明的模型淘汰了旧式 Harness，剩下什么？Jediah Katz 谈智能体架构

📌 One-Sentence Summary Jediah Katz 认为，模型会吸收旧式编程辅助技巧，但智能体 Harness 仍负责开启新任务，并保障运行可靠性、权限安全与执行效率。 📝 Summary Jediah Katz 根据参与 Cursor 智能体 Harness 开发的经验，将运行时基础设施与上下文、编排层分开讨论。前沿模型已经吸收许多过去依